Hello,
I'm curious to know as to how we are treating oo here on the sympy project.
as sometimes some ans shows that oo*I is possible, how are we really
defining oo here.
Regards,
Speed
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I answered on StackOverflow. The short answer is, use Mod.
Aaron Meurer
On Thu, Oct 22, 2015 at 3:20 PM, Dzhelil Rufat wrote:
> The objective is to implement a Piecewise expression that gives 0 when n is
> even, and 1 when n is odd. One way to do it is using the floor function like
> below:
>
>
Submit early and submit often. The earlier you make a pull request the
earlier people can start commenting on your work.
Aaron Meurer
On Thu, Oct 22, 2015 at 4:34 PM, Jason Moore wrote:
> Justin,
>
> We like to see "atomic" PRs that are shorter rather than longer so that they
> are easy to revie
Justin,
We like to see "atomic" PRs that are shorter rather than longer so that
they are easy to review. Most super long PRs take forever to review and get
merged, so send in smaller updates in general. And the atomic portion means
that you pick one complete thing to add per PR which generally inc
>
> On Wednesday, 21 October 2015 17:37:31 UTC+2, Jason Moore wrote:
>>
>> I will help you get your dev environment setup and give info on how to
>> make PRs, etc.
>>
>>
Hey Jason, I have my dev environment set up per the development workflow
wiki. I would like some information on how and when
The objective is to implement a Piecewise expression that gives 0 when n is
even, and 1 when n is odd. One way to do it is using the floor function
like below:
from sympy import *
from sympy.abc import n
f = Lambda((n,), Piecewise((0, Eq(n, floor(n / S(2,
On Thu, Oct 22, 2015 at 12:37 PM, Harsh Gupta wrote:
> PyCon India was fun indeed, here are some feedback from the workshop:
>
> * Many of the workshop participants asked how does SymPy compare with
> other CAS like Mathematica, Maple and Matlab. We should update the
> SymPy vs X docs on the wiki.
PyCon India was fun indeed, here are some feedback from the workshop:
* Many of the workshop participants asked how does SymPy compare with
other CAS like Mathematica, Maple and Matlab. We should update the
SymPy vs X docs on the wiki.
* The workshop was over represented by Data Scientists and th
One clarification. The mentorship role will be significantly less than
GSoC. We basically need to provide the project idea and the students will
run with that. We will provide support roles to provide them information
and feedback on their implementations.
Jason
moorepants.info
+01 530-601-9791
Use simplify(diff(-x*log(-x + y) + y*log(x - y) - y,y)) instead of only
diff(-x*log(-x + y) + y*log(x - y) - y,y)
as mentioned by Kalevi sympy does not do the simplification part
autometically.
and in sympy during integration sometimes the constants make a difference.
Hope it helps.
On Thursda
This apparently isn't widely supported. The only one I found was
doit(integrals=False) disables integrals. It probably ought to use the
syntax you suggest.
Aaron Meurer
On Wed, Oct 21, 2015 at 9:17 PM, Dzhelil Rufat wrote:
> The documentation says:
>
> doit(**hints)
>
> Evaluate objects that are
On Thu, Oct 22, 2015 at 2:45 AM, Filip wrote:
> I'm trying to calculate the integral of ln(x-y) dy (with x and y complex)
>>> integrate(ln(x-y), y)
> but sympy gives me
> -x*log(-x + y) + y*log(x - y) - y
> If I try to differentiate this wrt. y I get
>>> diff(-x*log(-x + y) + y*log(x - y) - y,
On Thursday, October 22, 2015 at 4:56:35 PM UTC+3, Filip wrote:
>
> I'm trying to integrate ln(x-y) dy, but the result I get from SymPy is
> very different from Maple's answer.
> Here is what I get when I integrate in SymPy:
> In [2]:
>
> integrate(ln(x-y), y)
>
> Out[2]:
>
> -x*log(-x + y) + y*
I'm trying to calculate the integral of ln(x-y) dy (with x and y complex)
>> integrate(ln(x-y), y)
but sympy gives me
-x*log(-x + y) + y*log(x - y) - y
If I try to differentiate this wrt. y I get
>> diff(-x*log(-x + y) + y*log(x - y) - y, y)
-x/(-x + y) - y/(x - y) + log(x - y) - 1
which i
I'm trying to integrate ln(x-y) dy, but the result I get from SymPy is very
different from Maple's answer.
Here is what I get when I integrate in SymPy:
In [2]:
integrate(ln(x-y), y)
Out[2]:
-x*log(-x + y) + y*log(x - y) - y
When I try to differentiate this, i get something very different fro
On Monday, 19 October 2015 19:32:22 UTC+2, Francesco Bonazzi wrote:
>
> We should eventually merge this:
> https://github.com/sympy/sympy/pull/9112
>
>
Given that this PR is too large to review, I extracted and rewrote the code
concerning N-dim arrays (made it more similar to SymPy's matrix modu
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